Business Applications of Hypothesis Testing and Confidence Interval Estimation (으)로 돌아가기

4.8
별점
1,222개의 평가
209개의 리뷰

## 강좌 소개

Confidence intervals and Hypothesis tests are very important tools in the Business Statistics toolbox. A mastery over these topics will help enhance your business decision making and allow you to understand and measure the extent of ‘risk’ or ‘uncertainty’ in various business processes. This is the third course in the specialization "Business Statistics and Analysis" and the course advances your knowledge about Business Statistics by introducing you to Confidence Intervals and Hypothesis Testing. We first conceptually understand these tools and their business application. We then introduce various calculations to constructing confidence intervals and to conduct different kinds of Hypothesis Tests. These are done by easy to understand applications. To successfully complete course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. Please note that earlier versions of Microsoft Excel (2007 and earlier) will not be compatible to some Excel functions covered in this course. WEEK 1 Module 1: Confidence Interval - Introduction In this module you will get to conceptually understand what a confidence interval is and how is its constructed. We will introduce the various building blocks for the confidence interval such as the t-distribution, the t-statistic, the z-statistic and their various excel formulas. We will then use these building blocks to construct confidence intervals. Topics covered include: • Introducing the t-distribution, the T.DIST and T.INV excel functions • Conceptual understanding of a Confidence Interval • The z-statistic and the t-statistic • Constructing a Confidence Interval using z-statistic and t-statistic WEEK 2 Module 2: Confidence Interval - Applications This module presents various business applications of the confidence interval including an application where we use the confidence interval to calculate an appropriate sample size. We also introduce with an application, the confidence interval for a population proportion. Towards the close of module we start introducing the concept of Hypothesis Testing. Topics covered include: • Applications of Confidence Interval • Confidence Interval for a Population Proportion • Sample Size Calculation • Hypothesis Testing, An Introduction WEEK 3 Module 3: Hypothesis Testing This module introduces Hypothesis Testing. You get to understand the logic behind hypothesis tests. The four steps for conducting a hypothesis test are introduced and you get to apply them for hypothesis tests for a population mean as well as population proportion. You will understand the difference between single tail hypothesis tests and two tail hypothesis tests and also the Type I and Type II errors associated with hypothesis tests and ways to reduce such errors. Topics covered include: • The Logic of Hypothesis Testing • The Four Steps for conducting a Hypothesis Test • Single Tail and Two Tail Hypothesis Tests • Guidelines, Formulas and an Application of Hypothesis Test • Hypothesis Test for a Population Proportion • Type I and Type II Errors in a Hypothesis WEEK 4 Module 4: Hypothesis Test - Differences in Mean In this module, you'll apply Hypothesis Tests to test the difference between two different data, such hypothesis tests are called difference in means tests. We will introduce the three kinds of difference in means test and apply them to various business applications. We will also introduce the Excel dialog box to conduct such hypothesis tests. Topics covered include: • Introducing the Difference-In-Means Hypothesis Test • Applications of the Difference-In-Means Hypothesis Test • The Equal & Unequal Variance Assumption and the Paired t-test for difference in means. • Some more applications...

## 최상위 리뷰

AU

2020년 5월 5일

The statistical concepts and methods are very well explained in an easy to understand manner. Good examples are given to demonstrate application of the cocepts and methods in business environment.

M

2020년 8월 20일

This course was very useful for me. We have learnt many interesting things of statistics like t statistic, t distribution, z statistics, confidence interval, sample proportion, hypothesis etc.

필터링 기준:

## Business Applications of Hypothesis Testing and Confidence Interval Estimation 의 209개 리뷰 중 176~200

교육 기관: Gregory R G J

2018년 11월 28일

Thumbs Up!

2021년 9월 29일

excellent

교육 기관: SAVARAPU J P

2021년 9월 27일

Excellent

교육 기관: 121913901057 g

2021년 4월 27일

thank you

교육 기관: Antonello G

2021년 1월 21일

Excellent

교육 기관: Olga

2019년 1월 30일

Great

교육 기관: MACHANI S K

2021년 8월 19일

good

교육 기관: Jonathan J

2020년 12월 7일

GOOD

교육 기관: Atis R

2019년 2월 22일

Good

교육 기관: Chandrasekaran R

2017년 10월 15일

d

교육 기관: Riccardo M

2020년 4월 17일

Overall, this is a good introductory course. I think it is very good for people that are starting with Excel or statistics, and business analysis.

However, I removed one star considering my personal experience. At times I feel it slow, maybe I made the wrong decision, because I already have some background and I was looking to refresh it and have more practical knowledge. I don't find it very challenging, but will complete the specialization for the certificate and to see the remaining 2 courses in it.

교육 기관: Faisal n K

2020년 8월 20일

overall good experience but quiz of week 2 was planned terribly many students faced problem because of rounding error and question suggested to use goalseek or solver but neither of them were taught in this course nor in other course of this specialization and please fix rounding error problems

교육 기관: Aafiyah D

2020년 4월 3일

This course was very different from the other data analysis courses. it really shows one how to compare data points in the same sample/population.

very interesting and many thanks to the prof, he made it easy to understand! the examples here as there were alot really helped!! thank you!

교육 기관: Saurabh M

2017년 9월 14일

This was a really interesting course. Some of the video lectures were longer than usual however, the content and the way it was taught kept it interesting. I'd definitely recommend this course to friends.

교육 기관: Shiyu D

2018년 4월 8일

It's great/ but sometimes I find it a little confusing when so many new concepts come to me. Better take notes while you are having this course^-^

교육 기관: Beāta K

2021년 1월 11일

Good explanations in videos, however sometimes there are to many repititions. As in previous courses, explanations after quizzes are missing.

교육 기관: Collin L S

2020년 7월 1일

A good overview of Z and T tests. Would have liked to see ANOVA or the F statistic as well to refresh myself on those statistics.

교육 기관: Lluís M

2017년 12월 6일

Great way to learn useful knowledge from home and in a easy and fast way. Very helpful when you usually work with data analysis.

교육 기관: Mayank R

2019년 9월 21일

useful course. It can add some more details and differentiation between T.INV and T.INV.TWO functions used in excel.

교육 기관: Colin P

2018년 5월 16일

Good intro to hypothesis testing using excel for business problems. Lectures are easy to follow - but take notes!

교육 기관: Pranjal S

2017년 11월 4일

Loved the course! The structure and explanation throughout is brilliant for a newbie.

2020년 4월 27일

The course helped in strengthening my basics of hypothesis testing.

교육 기관: César P O

2019년 9월 11일

It needs to show the correct answers when you do wrong in the tests

교육 기관: Eduardo R O S

2020년 1월 31일